WorldSense for robotics
Connect robots with site cameras, sensors, and distributed intelligence—without putting the whole brain inside every machine.
Technology
CantorAI owns the path from runtime to reasoning, so physical intelligence can run across robots, edge systems, and backend compute.
Cantor / Galaxy
Peer-to-peer compute: Cantor connects nodes without a central task controller and schedules work against CPU, GPU, and custom resources. Graph pipelines: Galaxy runs AI processing stages across those Cantor nodes.
Open source / AI inference
Programmable models: Garnet captures model computation as an inspectable graph. It lowers that graph for TensorRT, OpenVINO, native CPU execution, or specialized kernels on the target hardware.
Open source / World memory
Streaming memory: Quanta partitions camera and sensor vectors by time and source, enforces a RAM limit, and loads historical partitions from disk when a query needs them.
3D world reconstruction
Reconstructed worlds: WorldFusion registers multi-view images, trains a Gaussian 3D scene, and renders new camera views for robot training and validation.
Open source / Embeddable runtime
Independent runtime: XLang3 interprets supported Python source as ProgramIR on its own value runtime. Its native C ABI supports embedding; managed I/O and LLVM execution remain in development.
Robot-local runtime
Robot-local I/O: RoboCore keeps device control, live telemetry, and camera/WebRTC media close to the robot while Cantor handles distributed scheduling.
CantorAI
We build the software layer between robot bodies and shared intelligence—combining local safety with environment-level perception, memory, and reasoning.
WorldSense is our commercial entry point for robotics.
Core runtime, distributed systems, model serving, and memory are built in-house.
Designed for factories, warehouses, and other structured sites.
Partner with CantorAI
We work with robotics teams, industrial operators, and strategic partners deploying shared physical intelligence across factories, warehouses, and structured work sites.
Connect robots with site cameras, sensors, edge systems, and WorldSense shared reasoning.
Evaluate safety, inspection, packaging, and operations workflows for production environments.
Discuss partnerships, go-to-market timing, and CantorAI's Physical AI platform roadmap.